Welcome to the Revenue Management Edition of Boston Hospitality Review By: Arun Upneja, Ph.D., Dean, Boston University – School of Hospitality Administration “Come on down!” These words for some of you need no explanation. You hear them, and you may travel back in your mind to lazy afternoons on the couch, watching the long-running and […]
By: Apostolos Ampountolas, Ph.D., CQF, Assistant Professor of Finance and Revenue Management, Boston University – School of Hospitality Administration This Special Issue of the Boston Hospitality Review on Revenue Management and Pricing presents diverse research viewpoints from leading academics on the main issues that impact a hospitality industry practitioners’ ability to forecast in today’s unusual […]
By Apostolos Ampountolas, Ph.D., CQF, Assistant Professor of Finance and Revenue Management, Boston University – School of Hospitality Administration Introduction Over the past several years, the rapid development of information technology has been instrumental in the growth of demand in the hospitality sector. The new marketplace is becoming more competitive, which causes pricing pressure on […]
By Timothy Webb, Ph.D., Assistant Professor of Hospitality Business Management, University of Delaware – Alfred Lerner College of Business and Economics Booking Windows and Revenue Management One of the most challenging elements of revenue management is anticipating consumer behavior to make optimal decisions. Trip planning activities can be unpredictable, vary by segment, and can be dynamic […]
By Zvi Schwartz, Ph.D., Professor, Department of Hospitality and Sport Business Management, University of Delaware – Alfred Lerner College of Business and Economics An increase in the rate of hotel reservation cancellations and no-shows caused concerns in recent years. Industry and academia pointed out that this trend is troublesome because it is causing significant financial […]
By Misuk Lee, Ph.D., Assistant Professor, Seattle University – Albers School of Business & Economics Machine Learning for Hotel Revenue Management In recent years, machine learning has been at the leading edge of revenue management practices in the hospitality industry. Machine learning is the study of computer algorithms that automatically learn from data to find hidden […]
By Minwoo Lee, Ph.D., Assistant Professor, University of Houston – Conrad N. Hilton College of Hotel and Restaurant Management; Jaewook Kim, Ph.D., Assistant Professor University of Houston – Conrad N. Hilton College of Hotel and Restaurant Management and; Agnes L. DeFranco, Ed.D., Professor & Conrad N. Hilton Distinguished Chair, University of Houston – Conrad N. Hilton […]